Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/athola/claude-night-marketnpx agentmods add commands/athola/claude-night-market/make-dogfoodWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/athola/claude-night-market/make-dogfood)<a href="https://agentmods.dev/commands/athola/claude-night-market/make-dogfood"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/make-dogfood/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/athola/claude-night-market/make-dogfood"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/make-dogfood.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.01599 |
| Opus 5 | $0.00009 | $0.00800 |
| Sonnet 5 | $0.00004 | $0.00320 |
| Haiku 4.5 | $0.00002 | $0.00160 |
Grade A, and why
make-dogfood scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Makefile Dogfooding Command
Use the makefile-dogfooder script to analyze, test, and enhance Makefiles across the claude-night-market project with thorough safety checks and auto-generation capabilities.
When To Use
Use this command when you need to:
- Analyzing Makefile completeness
- Testing existing make targets
- Generating missing targets
- Preparing plugins for release
- Auditing Makefile coverage across plugins
- Creating Makefiles for plugins without them
When NOT To Use
Avoid this command if:
- Writing initial Makefiles from scratch (use --generate-makefiles instead)
- Debugging specific build failures
- Creating custom build systems
Parameters
-
--mode: Operation mode (default: analyze)analyze: Only analyze and report gaps (SAFE - no changes)generate: Show generated targets without writing filesapply: Write targets to Makefiles (use with --dry-run first)
-
--plugin: Restrict to specific plugin (e.g.,--plugin sanctum)- Recommended: Test on one plugin before applying to all
-
--dry-run: Preview changes without writing files (HIGHLY RECOMMENDED)- Always use this before applying changes for real
- Shows what will be generated/modified
-
--generate-makefiles: Generate Makefiles for plugins that don't have them- Follows attune:makefile-generation pattern
- Auto-detects language (Python/Rust/TypeScript)
- Creates standard targets for detected language
-
--preflight-check: Run validation checks before processing- Validates directories exist
- Checks write permissions
- Detects git repository for rollback
-
--verbose: Show detailed progress and error messages -
--output: Output format (text|json, default: text)
Workflow
1. Discovery Phase
Scan all Makefiles and build an inventory of existing targets:
- Find all Makefile and .mk files
- Extract target definitions and metadata
- Build dependency graphs
- Identify plugin type (leaf vs aggregator)
2. Analysis Phase
Evaluate Makefiles against best practices:
- Check for essential targets (help, clean, test, lint)
- Identify missing convenience targets (demo, quick-run)
- Detect anti-patterns and inconsistencies
- Score each Makefile on completeness (0-100)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 199 lines · 18 tokens per session scan A f7dcc73eb1d1
make-dogfood is a command published in the GitHub repository athola/claude-night-market (337 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 1,599 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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